Error concealment using weighted sum of macroblocks

Ee Sin Ng; Jo Yew Tham; Susanto Rahardja

doi:10.1117/12.740075

10 September 2007 Error concealment using weighted sum of macroblocks

Ee Sin Ng, Jo Yew Tham, Susanto Rahardja

Proceedings Volume 6777, Multimedia Systems and Applications X; 67770L (2007) https://doi.org/10.1117/12.740075
Event: Optics East, 2007, Boston, MA, United States

Abstract

In spatial error concealment (SEC), methods like bilinear interpolation (BI) and directional interpolation (DI) are commonly used to estimate the missing pixel values resulting from losses occurring in video streams. Despite being able to preserve spatial smoothness, BI produces a blurring effect and is unable to preserve structural information. DI produces spurious edges in regions with no strong edges, resulting in visible artefacts. In this paper, we propose a SEC algorithm that addresses the above drawbacks by formulating a weighted sum of candidate macroblocks produced from DI and BI, with weights derived adaptively through local information. We demonstrate that the proposed algorithm offers visual improvements over both DI based algorithms and the SEC algorithm based on BI in the H.264/AVC reference software JM 12.0. Most importantly, this unique approach preserves edge information and spatial smoothness in the error concealed macroblock due to the integration of both BI and DI.

Citation Download Citation

Ee Sin Ng, Jo Yew Tham, and Susanto Rahardja "Error concealment using weighted sum of macroblocks", Proc. SPIE 6777, Multimedia Systems and Applications X, 67770L (10 September 2007); https://doi.org/10.1117/12.740075

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available